USL ReID. Our methods are compared to MMCL [1]}, HCT [2]}, IICS [3]}, SPCL[4]} and C-Contrast [5]} in Table REF , where the last two methods also adopt the pre-trained model on LUPerson. Our best results boost the mAP performance by 3.2% (89.6% vs 86.4%) and 10.8% (50.6% vs 39.8%) on Market and MSMT17, respectively.
